CN107449884B - A kind of sewage monitoring system based on wireless sensor network - Google Patents
A kind of sewage monitoring system based on wireless sensor network Download PDFInfo
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- CN107449884B CN107449884B CN201710664039.7A CN201710664039A CN107449884B CN 107449884 B CN107449884 B CN 107449884B CN 201710664039 A CN201710664039 A CN 201710664039A CN 107449884 B CN107449884 B CN 107449884B
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Abstract
The present invention provides a kind of sewage monitoring systems based on wireless sensor network, including live water quality monitoring module, remote communication module and live water quality parameter to manage platform；The live water quality monitoring module is used to be based on wireless sensor network collection site water quality parameter, and live water quality parameter is sent to live water quality parameter by remote communication module and manages platform；It further include intelligent terminal, the intelligent terminal is connect with live water quality parameter management Platform communication, and when live water quality parameter is more than corresponding live water quality parameter threshold value, live water quality parameter manages platform and sends alarm signal to intelligent terminal.The present invention realizes the monitoring of sewage using wireless sensor network technology.
Description
Technical field
The present invention relates to sewage monitoring technical fields, and in particular to a kind of sewage monitoring system based on wireless sensor network
System.
Background technique
Water environment monitoring is the basis of environmental protection, and the purpose is to provide the foundation of science decision for environmental protection.Water
Domain environmental monitoring is one of the important content of Environmental protection management department supervision, at present China to great river, great river, coastal basin,
Daily routine monitor is implemented in harbour, bay, to contamination accidents such as red tide, oil spilling, the leakages of substantial pollution object, need to carry out daily primary
Monitoring.When great river, great river and large-size lake etc. happen suddenly water environment pollution accident, existing conventional means cannot achieve rapid, quasi-
Really, dynamically monitoring and forecast, so that environmentally friendly relevant departments are difficult to quickly, properly make decisions.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of sewage monitoring system based on wireless sensor network.
The purpose of the present invention is realized using following technical scheme:
Provide a kind of sewage monitoring system based on wireless sensor network, including live water quality monitoring module, long-range
Communication module and live water quality parameter manage platform；The live water quality monitoring module based on wireless sensor network for being adopted
Collect live water quality parameter, and live water quality parameter is sent to live water quality parameter by remote communication module and manages platform.
The invention has the benefit that live water quality monitoring is realized using wireless sensor network technology, so that environmentally friendly
Relevant departments can find water environment pollution accident in time, be monitored assessment to the occurrence and development of accident, and it is urgent right to formulate
Plan and measure.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Structural block diagram Fig. 1 of the invention；
Fig. 2 is the connection block diagram of live water quality parameter management platform of the invention.
Appended drawing reference:
Live water quality monitoring module 1, remote communication module 2, live water quality parameter manage platform 3, intelligent terminal 4, water quality
Parameter receiving module 10, water quality parameter memory module 20, water quality parameter processing module 30, threshold data library 40, abnormal data are aobvious
Show module 50.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, a kind of sewage monitoring system based on wireless sensor network provided in this embodiment, including it is existing
Field water quality monitoring module 1, remote communication module 2 and live water quality parameter manage platform 3；The live water quality monitoring module 1
It is transmitted for being based on wireless sensor network collection site water quality parameter, and by live water quality parameter by remote communication module 2
Platform 3 is managed to live water quality parameter.
As a preferred embodiment, the described live water quality parameter management platform 3 include water quality parameter receiving module 10,
Water quality parameter memory module 20, water quality parameter processing module 30, threshold data library 40, abnormal data display module 50；Water quality ginseng
Number receiving module 10 is connect with remote communication module 2, water quality parameter receiving module 10, water quality parameter memory module 20, water quality ginseng
Number processing module 30, threshold data library 40 are sequentially connected, and abnormal data display module 50 is connect with water quality parameter processing module 30.
As a preferred embodiment, sewage intelligent monitoring management system further includes intelligent terminal 4, the intelligent terminal
4 communicate to connect with live water quality parameter management platform 3, and threshold data inventory contains live water quality parameter threshold value, the water quality
The live water quality parameter received live water quality parameter threshold value corresponding with threshold data library is compared by parameter processing module,
Alarm signal is sent to intelligent terminal 4 when live water quality parameter is more than corresponding live water quality parameter threshold value.
As a preferred embodiment, the live water quality parameter includes water temperature, pH value, turbidity, conductivity, dissolved oxygen
Content.
The above embodiment of the present invention realizes live water quality monitoring using wireless sensor network technology, so that environmental protection is related
Department can find water environment pollution accident in time, be monitored assessment to the occurrence and development of accident, formulate urgent countermeasure and
Measure.
In one embodiment, the live water quality monitoring module 1 includes live water quality monitoring node, leader cluster node, base
It stands；The live water quality monitoring node is used to acquire the live water quality parameter in setting monitoring region, and live water quality is joined
The leader cluster node of cluster where number is sent to；Leader cluster node is used to receive the live water quality that the live water quality monitoring node in cluster is sent
Parameter, and abnormal live water quality parameter is carried out to live water quality parameter and is detected, after the water quality parameter of rejecting abnormalities scene, to remaining
Live water quality parameter carries out fusion treatment and is sent to base station, and then by treated, live water quality parameter is uploaded to now by base station
Field water quality parameter manages platform 3.
As one of embodiment, cluster where live water quality parameter is sent to by the live water quality monitoring node
When leader cluster node, fusion treatment first is carried out to live water quality parameter, is specifically included:
(1) data threshold range is set previously according to the live water quality parameter type of live water quality monitoring node acquisition；
(2) live water quality monitoring node utilizes sliding window collection site water quality parameter, to acquiring in same sliding window
Live water quality parameter carry out threshold test, live water quality parameter is not within the scope of pre-set data threshold if it exists, then
Labeled as Special field water quality parameter, other are considered as generic field water quality parameter；
(3) the generic field water quality parameter acquired in same sliding window is handled according to the following formula, at acquisition
Generic field water quality parameter L ' after reason:
In formula, LhIndicate that h-th of the generic field water quality parameter acquired in same sliding window, Q are in same sliding
The quantity of the generic field water quality parameter acquired in window；
(4) live water quality monitoring node is only by the generic field water quality parameter exported after processing and Special field water quality parameter
The leader cluster node of cluster where being sent to.
Where the generic field water quality parameter exported after processing and Special field water quality parameter are only sent to by the present embodiment
On the one hand the leader cluster node of cluster saves the transmission energy consumption of live water quality parameter, on the other hand relative to only sending generic field
The mode of water quality parameter can more guarantee the precision of live water quality parameter acquisition.
As one of embodiment, when leader cluster node carries out abnormal live water quality parameter detection to live water quality parameter,
It is specific to execute:
(1) leader cluster node collects n live water quality parameter as training sample set；
(2) training sample set is set as L={ L1,L2,…,Ln, ifIndicate live water quality parameter LiData peel off journey
Degree, determines according to the following formula
In formula, LjIt concentrates for training sample except live water quality parameter LiThe live water quality parameter of outer j-th, P (Li,Lj) table
Show Li,LjBetween Euclidean distance,Indicate that training sample is concentrated except live water quality parameter LiOuter any two scene
Euclidean distance between water quality parameter, max [] expression are maximized function；
(3) the data degree that peels off of all live water quality parameters is concentrated to carry out descending arrangement training sample, for each
Live water quality parameter calculates its accounting in descending arrangement according to the following formula
In formula,It indicates to be less than or equal in descending arrangementQuantity；
(4) right according to the following formulaConversion process is carried out, the data after being converted peel off degreeIt willIn
Minimum valueCorrespondingThe factor is judged as peeling off, and will be peeled off and judged that data corresponding to the factor peel off
Degree is greater than the live water quality parameter of the judgment threshold that peels off as peeling off judgment threshold, by the training sample concentration data degree that peels off
It is determined as abnormal live water quality parameter:
Wherein
(5) leader cluster node collects a newest live water quality parameter Le, e > n, if LeData peel off degree be greater than from
Group's judgment threshold, then determine LeFor abnormal live water quality parameter, by LeWith the live water quality parameter structure in training sample set before
The training sample set of Cheng Xin returns (2)；
(6) if LeData peel off degree no more than peeling off judgment threshold, then determine LeFor normal data, return (5).
The present embodiment is utilized the correlation between live water quality parameter and carries out abnormal live water quality parameter detection, relative to
Abnormal live water quality parameter detection is carried out using live water quality monitoring node, is conducive to the water quality parameter for saving sewage monitoring system
Collect energy consumption；
Wherein, the present embodiment defines data using Euclidean distance and peels off the calculation formula of degree, is calculated according to the formula
The data of each live water quality parameter peel off degree out, and then obtain data and peel off degree ratio, finally obtain for detecting scene
Water quality parameter whether be abnormal live water quality parameter the judgment threshold that peels off, the whole process training time is shorter, and only under
A scene water quality parameter just carries out peeling off when being abnormal live water quality parameter the update of judgment threshold, reduces the judgment threshold that peels off
Update calculation times, can effectively be sent out from a large amount of live water quality parameters in the case where guaranteeing lower computation complexity
It is now hidden in the live water quality parameter of exception therein, detects precise and high efficiency.
As one of embodiment, before collection site water quality parameter, pitch point importance grade S is set1、S2、S3,
Wherein S1<S2<S3, in advance to the live water quality monitoring node distribution node different degree grade in cluster, within the period of setting, cluster
Head node counts the live water quality parameter amount of exception that each live water quality monitoring node is sent in cluster, when live water quality monitoring node is adopted
When the live water quality parameter amount of the exception of collection meets following conditions, the leader cluster node of place cluster is stopped to the transmission of live water quality monitoring node
It sleeps and instructs, the scene water quality monitoring node enters suspend mode according to dormancy instruction:
In formula,Indicate live water quality monitoring node KlThe live water quality of exception sent within the setting period to leader cluster node
Parameter amount,Indicate live water quality monitoring node KlThe live water quality parameter total amount sent within the setting period to leader cluster node,
G is the unnatural proportions value of setting, and the value setting range of g is [25%, 35%],Live water quality monitoring section is distributed in expression
Point KlPitch point importance grade.
The present embodiment is according to the live water quality parameter amount ratio of exception of live water quality monitoring node and pitch point importance etc.
Two factors of grade, devise the sleep condition of live water quality monitoring node, at the scene the live water quality of the exception of water quality monitoring node
Ginseng quantitative proportion carries out suspend mode when being more than certain proportion threshold value, and capable of reducing abnormal live water quality parameter amount, to generate probability big
The live water quality parameter traffic volume of live water quality monitoring node, the live water quality parameter for further saving leader cluster node collect energy
Consumption is conducive to improve the live water quality parameter quality collected, improves the reliability of sewage monitoring.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (4)
1. a kind of sewage monitoring system based on wireless sensor network, characterized in that including live water quality monitoring module, remotely
Communication module and live water quality parameter manage platform；The live water quality monitoring module based on wireless sensor network for being adopted
Collect live water quality parameter, and live water quality parameter is sent to live water quality parameter by remote communication module and manages platform；Institute
Stating live water quality monitoring module includes live water quality monitoring node, leader cluster node, base station；The live water quality monitoring node is used
The live water quality parameter in monitoring region is set in acquisition, and live water quality parameter is sent to the leader cluster node of place cluster；Cluster
Head node is used to receive the live water quality parameter that the live water quality monitoring node in cluster is sent, and carries out to live water quality parameter different
It often occurs a water quality parameter to detect, after the water quality parameter of rejecting abnormalities scene, fusion treatment is carried out simultaneously to remaining live water quality parameter
It is sent to base station, and then live water quality parameter is uploaded to live water quality parameter management platform by treated by base station；Cluster head section
It is specific to execute when point carries out abnormal live water quality parameter detection to live water quality parameter:
(1) leader cluster node collects n live water quality parameter as training sample set；
(2) training sample set is set as L={ L1, L2..., Ln, ifIndicate live water quality parameter LiData peel off degree, press
It is determined according to following equation
In formula, LjIt concentrates for training sample except live water quality parameter LiThe live water quality parameter of outer j-th, P (Li, Lj) indicate Li,
LjBetween Euclidean distance,Indicate that training sample is concentrated except live water quality parameter LiOuter any two scene water quality
Euclidean distance between parameter, max [] expression are maximized function；
(3) the data degree that peels off of all live water quality parameters is concentrated to carry out descending arrangement training sample, for each scene
Water quality parameter calculates its accounting in descending arrangement according to the following formula
In formula,It indicates to be less than or equal in descending arrangementQuantity；
(4) right according to the following formulaConversion process is carried out, the data after being converted peel off degreeIt willIn minimum
ValueCorrespondingJudge the factor as peeling off, and will peel off judge data corresponding to the factor peel off degree work
For the judgment threshold that peels off, the training sample concentration data degree that peels off is greater than the live water quality parameter of the judgment threshold that peels off and is determined as
Abnormal live water quality parameter:
Wherein
(5) leader cluster node collects a newest live water quality parameter Le, e > n, if LeData peel off degree be greater than peel off
Judgment threshold then determines LeFor abnormal live water quality parameter, by LeIt is constituted with the live water quality parameter in training sample set before
New training sample set returns (2)；
(6) if LeData peel off degree no more than peeling off judgment threshold, then determine LeFor normal data, return (5).
2. a kind of sewage monitoring system based on wireless sensor network according to claim 1, characterized in that described
Live water quality parameter management platform includes water quality parameter receiving module, water quality parameter memory module, water quality parameter processing module, threshold
Value Data library and abnormal data display module；Water quality parameter receiving module is connect with remote communication module, and water quality parameter receives mould
Block, water quality parameter memory module, water quality parameter processing module, threshold data library are sequentially connected, abnormal data display module and water
The connection of matter parameter processing module.
3. a kind of sewage monitoring system based on wireless sensor network according to claim 2, characterized in that further include
Intelligent terminal, the intelligent terminal are connect with live water quality parameter management Platform communication, and threshold data inventory contains live water
Matter parameter threshold, the water quality parameter processing module are corresponding with threshold data library live by the live water quality parameter received
Water quality parameter threshold value is compared, and is sent and is reported to intelligent terminal when live water quality parameter is more than corresponding live water quality parameter threshold value
Alert signal.
4. a kind of sewage monitoring system based on wireless sensor network according to claim 1, characterized in that acquiring
Before live water quality parameter, pitch point importance grade S is set1、S2、S3, wherein S1< S2< S3, in advance to the live water quality in cluster
Monitoring node distribution node different degree grade, within the period of setting, leader cluster node counts each live water quality monitoring node in cluster
The live water quality parameter amount of the exception of transmission, when the live water quality parameter amount of exception of live water quality monitoring node acquisition meets following
When part, the leader cluster node of place cluster sends dormancy instruction to live water quality monitoring node, the scene water quality monitoring node according to
Dormancy instruction enters suspend mode:
In formula,Indicate live water quality monitoring node KlThe live water quality parameter of exception sent within the setting period to leader cluster node
Amount,Indicate live water quality monitoring node KlThe live water quality parameter total amount sent within the setting period to leader cluster node, g are to set
Fixed unnatural proportions value,Live water quality monitoring node K is distributed in expressionlPitch point importance grade.
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| CN108449729A (en) * | 2018-02-10 | 2018-08-24 | 深圳源广安智能科技有限公司 | A kind of orchard environmental monitoring system for reading intelligent agriculture |
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| CN109212153A (en) * | 2018-10-16 | 2019-01-15 | 深圳美特优科技有限公司 | A kind of water quality monitoring system based on wireless sensor network |
| CN115684516B (en) * | 2022-08-29 | 2024-03-26 | 邯郸市亿润工程咨询有限公司 | Hydraulic engineering sewage treatment detection method and device, electronic equipment and medium |
| CN116541241B (en) * | 2023-05-06 | 2024-03-15 | 华东医院 | Big data-based operation efficiency analysis system for portable wearable device after operation |
| CN117054676B (en) * | 2023-10-13 | 2023-12-19 | 山西智合清浩环保技术服务有限公司 | Operation and maintenance intelligent control system of wastewater on-line monitoring equipment |
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